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Article

Avocado Seeds: Extraction Optimization and Possible Use as Antioxidant in Food

by
Francisco Segovia Gómez
1,2,
Sara Peiró Sánchez
1,
Maria Gabriela Gallego Iradi
1,
Nurul Aini Mohd Azman
1 and
María Pilar Almajano
1,*
1
Chemical Engineering Department, Technical University of Catalonia, Avda. Diagonal 647, 08028 Barcelona, Spain
2
Chemical Engineering Department, Antonio José de Sucre National Experimental Polytechnic University, Avenida Corpahuaico, 3001 Barquisimeto, Venezuela
*
Author to whom correspondence should be addressed.
Antioxidants 2014, 3(2), 439-454; https://doi.org/10.3390/antiox3020439
Submission received: 25 February 2014 / Revised: 18 April 2014 / Accepted: 13 May 2014 / Published: 10 June 2014
(This article belongs to the Special Issue Antioxidants in Oils)

Abstract

:
Consumption of avocado (Persea americana Mill) has increased worldwide in recent years. Part of this food (skin and seed) is lost during processing. However, a high proportion of bioactive substances, such as polyphenols, remain in this residue. The primary objective of this study was to model the extraction of polyphenols from the avocado pits. In addition, a further objective was to use the extract obtained to evaluate the protective power against oxidation in food systems, as for instance oil in water emulsions and meat products. Moreover, the possible synergy between the extracts and egg albumin in the emulsions is discussed. In Response Surface Method (RSM), the variables used are: temperature, time and ethanol concentration. The results are the total polyphenols content (TPC) and the antiradical power measured by Oxygen Radical Antioxidant Capacity (ORAC). In emulsions, the primary oxidation, by Peroxide Value and in fat meat the secondary oxidation, by TBARS (Thiobarbituric acid reactive substances), were analyzed. The RSM model has an R2 of 94.69 for TPC and 96.7 for ORAC. In emulsions, the inhibition of the oxidation is about 30% for pure extracts and 60% for the combination of extracts with egg albumin. In the meat burger oxidation, the formation of TBARS is avoided by 90%.

1. Introduction

Vegetables and fruits are essential foods in our diet and also have many compounds that are beneficial for health due to minor components. These minor components include phenolic substances [1]. These are secondary metabolites of plants. They have an aromatic ring with one or more hydroxyl groups. Their complexity may be high, as for example quercetin, which is one flavone with several aromatic rings. The properties depend on the arrangement and/or structure of the molecule [2].
In recent times, many plants have been studied in order to characterize them depending on the amount of polyphenols they have and on their potential use [3].
The polyphenols are associated with the potential prevention of diseases which are due to the presence of free radicals, such as cardiovascular insufficiency, hypertension, inflammatory conditions, asthma, diabetes and Alzheimer’s [4], thanks to their antiradical power. For this reason, they are very useful in food products, since they prevent lipid peroxidation due to the attack of free radicals [5]. They also protect against oxidation, direct or indirect, caused by metal cations [6]. These cations stimulate the creation of reactive oxygen species (ROS), which are harmful to the health. In some cases, polyphenols have been used as preservatives, protecting against microorganisms [7].
The process of food, especially for IV and V gamma products, produces many byproducts and waste. This type of waste has a significant environmental impact due to the organic charge. It also has associated handling, transport and storage costs, among others. Therefore, more and more alternative uses for these residues are sought, as for instance animal feed and fertilizers, among others. In the present case, it is interesting to obtain, through an optimized extraction process, harmless substances with high antioxidant power. Thus, what was a waste becomes a “high value-added” product [8,9]. Previous examples already studied [10,11,12] are the orange juice industry, where a large amount of skin and seeds are produced with a high content of polyphenols and the industry of processed apple, pear and peach, with a significant amount of skin byproduct. There is evidence that the skin may even have a greater amount of polyphenols than the flesh [13]. Also, the waste from wine and beer production includes phenolic compounds [9]. Other studies have focused on the shells of nuts, rice and wheat in which large amounts of polyphenols are found [14].
In the avocado industry the pulp is used, while the skin and the seeds are discarded as waste. These residues are rich in polyphenols with antioxidant and antimicrobial power [15]. Among the polyphenols the (+)-catechin and (−)-epicatechin [16] and chlorogenic and protocatechuic acid, are included [14]. Previous studies on this residue have been applied to pork burgers and have been shown to be effective in preventing oxidation and microbial growth [15].
Given the above, it can be concluded that polyphenols obtained from these industrial wastes can be potent antioxidants and, in some cases, they are better than synthetic antioxidants such as BHA or BHT which in high doses can become toxic [17].
In order to optimize the extraction process, response surface methodology (RSM) has been used. Phenolic compounds extraction optimization from strawberries [18], apple pulp [9] and residues of chestnuts [19], are examples of this. This method establishes a multivariable mathematic model to obtain the relationship between responses and independent variables [20,21] with the use of a minimal number of experiments.
This paper consists of two main objectives. First, a mathematical model was obtained to predict the best conditions of extraction of polyphenols from dried avocado seed. Second, an extract using these conditions was obtained and the effect of lyophilized powder in the delay oxidation in oil-in-water (O/W) emulsions and beef meat burgers analyzed.

2. Experimental Section

2.1. Materials

2,2′-Azo-bis(2-amidinopropane) dihydrochloride (AAPH), was used as peroxyl radical source. Trolox (6-hydroxy-2,5,8-tetramethylchroman-2-carboxylic acid), ethanol, fluorescein, AAPH, BHA, egg albumin, p-anisidine (4-amino-anisole; 4-methoxy-aniline), isooctane, potassium persulfate, acetic acid (glacial) and 2-thiobarbituric acid were purchased from Sigma-Aldrich Company Ltd. (Gillingham, UK). Folin-Ciocalteu reagent, sodium carbonate and 1,6-diaminohexane were supplied by Merck (Darmstadt, Germany). Trichloroacetic acid, hydrochloric acid and Tween® 20 (Panreac Química S.L.U, Barcelona, Spain) were acquired from Panreac Química S.L.U. (Barcelona, Spain). Refined sunflower oil, with no added antioxidants, was purchased from a local retail outlet. All compounds were of reagent grade.

2.2. Avocado Preparation

The avocado (Persea americana) was obtained in the local market; the seeds were separated from other edible parts. This waste was homogenized and frozen at −80 °C for lyophilization. Then the seeds were ground into a powder by using a Moulinex mill (A5052HF, Moulinex, Lyon, France). The particle size was standardized with a number 40 mesh sieve. Finally, the powder was stored in a dark bottle in a desiccator until use.

2.3. Extraction Procedure

Extraction was carried out in dark bottles: lyophilized sample powder (0.25 g) was blended with 15 mL of solvent of concentration specified by the experimental design (Table 1). This mixture was placed in a bath by stirring at the required temperature and time specified by the experimental design (Table 1). At the end, it was cooled in a refrigerator at 5 °C, centrifuged (Orto Alresa, Madrid, Spain) at 2500 rpm for 10 min, vacuum filtered and the lost solvent was replaced. The extract was stored at −20 °C until used for analysis.

2.4. Total Phenolic Content (TPC)

TPC was determined spectrophotometrically following the Folin-Ciocalteu colorimetric method [22]. A sample diluted 1:4 with milli-Q water was stirred in triplicate. The final concentration in the well (96 wells plate was used) was: 7.7% v/v sample, 4% v/v Folin-Ciocalteu’s reagent, 4% saturated sodium carbonate solution and 84.3% of milli-Q water, all mixed. The solution was allowed to react for 1 h in the dark and the absorbance was measured at 765 nm using a Fluostar Omega (BMG Labtech, Ortenberg, Germany). The total phenolic content was expressed as mg Gallic Acid Equivalents (GAE)/g dry weight.
Table 1. Experimental design and responses for extraction.
Table 1. Experimental design and responses for extraction.
Temperature (°C)Ethanol Concentration (%)Time (min)TPC (mg GAE/g dw)ORAC (mg TE/g dw)
60.0060.0025.0041.00 ± 0.97104.16 ± 2.13
60.0093.6325.0035.10 ± 0.24116.12 ± 1.03
80.0080.005.0046.78 ± 0.59153.17 ± 3.84
26.3660.0025.0040.78 ± 0.1770.54 ± 0.97
60.0060.0025.0041.10 ± 0.57106.10 ± 2.40
40.0040.0045.0043.24 ± 0.76104.01 ± 2.35
80.0080.0045.0045.43 ± 0.49144.94 ± 2.84
80.0040.0045.0045.37 ± 1.39130.08 ± 2.65
80.0040.005.0043.70 ± 0.66150.03 ± 1.73
60.0060.0025.0040.90 ± 0.47104.28 ± 1.03
60.0060.0055.2242.87 ± 0.70158.77 ± 1.33
40.0040.005.0041.19 ± 0.5599.17 ± 1.81
60.0060.002.7742.92 ± 1.13155.44 ± 2.71
93.6460.0025.0046.95 ± 0.09126.23 ± 3.35
60.0026.3625.0042.33 ± 0.10129.78 ± 3.84
40.0080.0045.0038.98 ± 0.45100.72 ± 3.27
40.0080.005.0035.48 ± 0.5591.01 ± 3.51
GAE: Galic Acid Equivalents; TE: Trolox Equivalents; TPC: Total Phenolic Content; ORAC: Oxygen Radical Antioxidant Capacity.

2.5. ORAC Assay

Antioxidant activities of avocado seeds extracts were determined by the ORAC assay, as reported by Casettari et al. [23]. The assay was carried out using a Fluostar Omega equipped with a temperature-controlled incubation chamber. The incubator temperature was set to 37 °C. The extract samples were diluted 1:20 with milli-Q water. The assay was performed as follows: 20% of sample was mixed with Fluorescein 0.01 mM, and an initial reading was taken with excitation wavelength, 485 nm and emission wavelength, 520 nm. Then, AAPH (0.3 M) was added, measurements were continued for 2 h every 5 min. This method includes the time and decrease of fluorescence. The area under the curve (AUC) was calculated. A calibration curve was made each time with the standard Trolox (500, 400, 250, 200, 100, 50 mM). The blank was 0.01 M phosphate buffered saline (pH 7.4). ORAC values were expressed as mg Trolox Equivalents (TE)/g of dry weight.

2.6. Statistical Analysis

RSM was used to determine the optimal conditions of polyphenol extraction. A central composite design (CCD) was used to investigate the effects of three independent variables with two levels (solvent concentration, extraction temperature, and extraction time) with the dependent variables (TPC, ORAC activity). CCD uses the method of least-squares regression to fit the data to a quadratic model.
The adequacy of the model was determined by evaluating the lack of fit, coefficient of determination (R2) obtained from the analysis of variance (ANOVA) that was generated by the software. Statistical significance of the model and model variables were determined at the 5% probability level (α = 0.05). The software uses the quadratic model equation shown above to build response surfaces. Three-dimensional response surface plots and contour plots were generated by keeping one response variable at its optimal level and plotting that against two factors (independent variables). Response surface plots were determined for each response variable. The coded values of the experimental factors and factor levels used in the response surface analysis are shown in Table 1. The graphics and the RSM analysis were made by software Matlab version R2013b (The MathWorks Inc., Natick, MA, USA, 2013). All responses were determined in triplicate and are expressed as average ± standard deviation. The answers have a percentage deviation less than 10%.

2.7. Water-Oil Emulsions

Oil-in-water emulsions (20.2 g) were prepared by dissolving Tween-20 (1%) in acetate buffer (0.1 M, pH 5.4), either with or without protein, namely egg albumin (0.2% w/w) and avocado seeds extracts (0.45% w/w, 0.225% w/w, 0.1125% w/w). The emulsion was prepared by the dropwise addition of oil (sunflower oil) to the water phase, cooling it in an ice bath with continuous sonication with a Vibracell sonicator (Sonics and Materials, Newtown, CT, USA) for 4 min. All emulsions were stored in triplicate in 60 mL glass beakers in the dark (inside an oven) at 30 °C in an incubator. Two aliquots of each emulsion (0.005–0.1 g, depending on the extent of oxidation) were removed periodically for determination of peroxide value (PV).

2.8. Peroxide Value (PV)

PV was determined by the ferric thiocyanate method [24] (after calibrating the procedure with a series of oxidized oil samples analyzed using the AOCS Official Method Cd 8-53). Data from the PV measurements were plotted against time.

2.9. Meat Preparation

Fresh beef meat was purchased from a local processor 96 h postmortem. All subcutaneous and inter-muscular fat and visible connective tissue were removed from the fresh beef muscle. Lean meat was ground through Ø-4 mm plate using a meat grinder (PM-70, Mainca, Barcelona, Spain). The ground meat was divided into six portions for each experiment prior to the addition of the sodium chloride or different concentration of powder (freeze-dried extract of powder of avocado). The lyophilized avocado and the powder of direct avocado were mixed with the salt final concentration of 1.5% (w/w). Each portion of beef meat was mixed manually with each solid. Each mixed sample was divided into nine smaller portions (about 10 g each) and allocated onto trays. The meat was packed under MAP (20% CO2 and 80% O2) in polystyrene/EVOH/polyethylene trays, heat sealed with laminated barrier film and stored at 4 ± 1 °C for 8 days. Patties were evaluated for lipid oxidation.

2.10. Thiobarbituric Reactive Substances

Fat meat oxidation was determined by the concentration of thiobarbituric acid-reactive substances (TBARS) using the method described by Domenech Asensi (2013) [25] with some modifications. In the dark, 1 g of burger patty was dispensed in tubes and 1 mL of EDTA was added. The samples were homogenized for 5 min sin an Ultra-Turrax (Ika®-Werke, Staufen, Germany) with 5 mL of TBARS reactive (Trichloroacetic acid, 9.2%; Hydrochloric acid, 2%; Thiobarbituric acid, 0.22%, all w/w final). During homogenization, the tubes were placed in an ice bath to minimize the development of oxidative reactions. The sample tubes were heated at 90 °C in a boiling water bath for 20 min and then left to cool. Two milliliters of slurry was centrifuged (10,000 rpm for 10 min). The absorbance was measured at 531 nm in a Spectrophotometer Zuzi model 4201/20 (AUXILAB, SL, Navarra, Spain). The result is expressed in mg of MDA/kg sample.

3. Results and Discussion

3.1. Extraction Optimization

Experimental design was carried out to see the effects of temperature, solvent concentration (ethanol) and time in both TPC and radical scavenging (measured by ORAC). Several authors used ethanol/water as solvent to extract different raw material polyphenols, such as seeds, grape marc, fruits, among others [26,27,28,29,30]. Ethanol concentration with the highest polyphenols yield is in the range of 10%–60%. Ethanol, instead of methanol, is used when it is necessary to reduce the toxicity of extracts [18]. The time effect was measured between 5 and 45 min, because some research reported that it is enough to achieve the maximum amount of polyphenols [31,32]. Temperature bounds were taken between 40 and 80 °C, to achieve the maximum temperature that does not have a negative effect on the polyphenols stability [33]. All these parameters are collected in Table 1 which shows the experimental design for the variables temperature (T), ethanol concentration (% EtOH) and time (t), with responses of TPC and antiradical activity measured by ORAC.
Figure 1 shows the relationship between the variables T, % EtOH and t in polyphenol extraction. The process is favored by high temperatures and low concentrations of ethanol (in the studied range). This behavior can be attributed to the nature of the polyphenols present in the sample, mainly chlorogenic acid and protocatechuic acid [34] both highly soluble in water. The solvent plays an important role in mass transfer of the compounds; not all polyphenols show identical behavior in the extraction process, and the less polar polyphenols are favored by the highest concentration of ethanol [9].
The effect of temperature on the extraction is associated with the solubility of the components present in the avocado pit. This variable, T, has a marked influence on the diffusivity of the substances [30]. Solubility increases with temperature. Time has no influence in the extraction process. This means that from the beginning, the extraction is governed by the solubility and diffusion, and both are almost complete after 5 min.
Figure 2 shows the effect of the parameters on the antioxidant power measured by ORAC. The ORAC increases with temperature. In the investigated range, the ORAC is increased about 44% (Table 1). Furthermore, as stated above, it is in accordance with the higher polyphenols solubility at high temperature. This means that these kinds of polyphenols are thermo-resistant [20].
The effect observed for the percentage of ethanol is similar to that described in the TPC. An increase in the ethanol concentration causes a decrease in antioxidant activity. It is not a new fact, because similar results were described in other studies and were justified by the polarity of the compounds of the extract [18].
Figure 1. Response surface model plot: the variable is the total phenolic content (TPC) of the extract. % EtOH with temperature; temperature with time; % EtOH with time.
Figure 1. Response surface model plot: the variable is the total phenolic content (TPC) of the extract. % EtOH with temperature; temperature with time; % EtOH with time.
Antioxidants 03 00439 g001
On TPC the variable t has no influence, while on ORAC small changes were observed, but all of them with similar final values. One possible explanation is that there are antioxidant compounds with slow solubilization and, therefore, the time promotes an increase in total extraction [35].
Table 2 shows the “p values” of the mathematical model for the coefficients, with the decoded variables. It starts with the complete model, taking the variables that have less influence, i.e., with p > 0.05. For TPC all those that are with % EtOH and t are involved. This means that the more important variable is T. However, on the ORAC, the variables that have more influence are % EtOH, t, and these quadratic terms. From the data, different iterations were made and less influential terms were eliminated; after which the values were recalculated. With these data the reduced model was obtained and provided a better fit. In ORAC the predicted R2 becomes 77.88 which is within the range of a good set [36].
Figure 2. Response surface model plot: the variable is the Oxygen Radical Antioxidant Capacity (ORAC) of the extract. Temperature with time; % EtOH with temperature; % EtOH with time.
Figure 2. Response surface model plot: the variable is the Oxygen Radical Antioxidant Capacity (ORAC) of the extract. Temperature with time; % EtOH with temperature; % EtOH with time.
Antioxidants 03 00439 g002
Therefore, with the exception of T × % EtOH for the TPC, all of the crossed terms disappear in the reduced model (which is used to adjust and to determine the optimal extraction conditions).
Additionally, the quadratic variables % EtOH × % EtOH and t × t, as well as the linear variable t are eliminated for the TPC. The quadratic term T × T is eliminated from the model which determines the scavenging activity. This is summarized in Table 2.
Table 3 lists the completed model and the reduced model equations. The reduced model has a higher R2 predicted which means that it is more reliable in estimating a response.
When the fitting was considered good enough, the experiment was performed in the laboratory to obtain the real value. Table 4 contains these values for the TPC and for the ORAC. The TPC is fitted with less than a 4% error (the predicted value is 43.6 mg GAE/g dw, compared to an experimental value of 45.01 mg GAE/g dw). This indicates that the initial hypothesis was correct, and demonstrates that T is the variable with the greatest influence on the maximum TPC extraction.
Table 2. p-Values for each of the constants in the equation of the mathematical model.
Table 2. p-Values for each of the constants in the equation of the mathematical model.
Termp-Value
Response
TPCORAC
Complete Model
Constant0.0010.006
Temperature (°C)0.0120.069
Ethanol (%)0.2910.022
Time (min)0.8040.001
Temperature (°C) × Temperature (°C)0.0140.135
Ethanol (%) × Ethanol (%)0.6220.046
Time (min) × Time (min)0.0680.000
Temperature (°C) × Ethanol (%)0.0030.186
Temperature (°C) × Time (min)0.1190.071
Ethanol (%) × Time (min)0.6100.435
Reduced Model
Constant0.0000.000
Temperature (°C)0.0050.000
Ethanol (%)0.0010.031
Time (min)-0.000
Temperature (°C) × Temperature (°C)0.029-
Ethanol (%) × Ethanol (%)-0.033
Time (min) × Time (min)-0.000
Temperature (°C) × Ethanol (%)0.004-
TPC (mg GAE/g dw); ORAC (mg TE/g dw); GAE: Gallic Acid Equivalent; TE: trolox equivalent.
However, the values which maximize scavenging activity (ORAC) have a greater deviation. The value predicted by the reduced model was 200.66 mg TE/g dw, compared to an experimental value of 154.3 mg TE/g dw, which represents a deviation of 23.1%.
The best-fitting experimental conditions were then applied, i.e., 23 min extraction with 56% EtOH and 63 °C. This extract was lyophilized and used in subsequent experiments.
Table 3. Mathematical equations from Response Surface Method (RSM) for each of the responses, with their respective value of R2 and R2-predicted.
Table 3. Mathematical equations from Response Surface Method (RSM) for each of the responses, with their respective value of R2 and R2-predicted.
ResponseEquationR2 Value
R2R2 Pred.
Complete Model
TPC62.87 − 0.47 T − 0.25 [%] − 0.14 t + 0.003 T2 − 0.001 [%]2 + 0.03 t2 + 0.006 T × [%] − 0.007 T × t − 0.003 [%] × t94.6957.0
ORAC318.2 + 2.03 T − 04.41 [%] − 019.5 t − 00.009 T2 + 0.023 [%]2+ 0.7 t2 + 0.012 T × [%] − 00.053 T × t − 00.03 [%] × t96.775.0
Reduced Model
TPC69.7 − 00.53 T − 00.39 [%] + 0.002 T2 − 00.006 T × [%]85.766.76
ORAC345.7 + 1.01 T − 03.92 [%] − 022.01 t + 0.027 [%]2 + 0.73 t291.8877.88
T: Temperature (°C); [%]: Ethanol concentration (%); t: Time (min); Pred.: response predicted by model. TPC in mg GAE/g dw and ORAC in mg TE/g dw.
Table 4. Optimal conditions for the extractions for TPC and ORAC, given by RSM.
Table 4. Optimal conditions for the extractions for TPC and ORAC, given by RSM.
ModelConditionsResponse
Temperature (°C)Ethanol (%)Time (min)Predicted Predicted RMExperimental
TPC63562351.7543.645.01
ORAC93.644.77206.82200.66154.3
TPC in mg GAE/g dw; ORAC in mg TE/g dw.

3.2. Extract Optimized Effect in Oil-in-Water Emulsions (O/W)

Figure 3 shows the evolution of peroxide value over time. In this case, the possible synergy between the extract (with different concentrations) and egg albumin was determined. Firstly, it should be noted that both albumin and various concentrations of the extract of avocado produce significant protection against oxidation. For example, within the 400 h of the experiment the amount of hydroperoxides produced is 90% higher in the control than in any of the samples (20 mg hydroperoxides/kg of emulsion hydroperoxides vs. 38 mg/kg for the emulsion control). Notably, there were no significant differences (p < 0.05) for the three tested avocado concentrations (0.1125%, 0.225% and 0.45% w/w), as well as egg albumin (0.2% w/w). This fact could be explained by the solubility of the lyophilized extract in water and the ability to coat the oil drop generated in the emulsion and prevent oxidation thereof. The necessary concentration that allows this protection is already achieved with 0.1125% and the results do not improve if increased. Similar behavior has been published elsewhere [37,38,39].
In fact, putting together two different compounds (avocado pit extract and egg protein) allows greater protection against oxidation and further differentiates the two concentrations of the tested extract. For example, the time required to reach 15 mg hydroperoxides/kg emulsion goes from 180 h of the control group up to 480 h for the sample containing 0.45% extract + 0.2 egg protein. This is an increase of 260% superior durability. In the intermediate areas three avocado extract concentrations were tested, as well as the protein (an increase in the durability between 150% and 180%) and one that contains 0.225% of avocado and 0.2% protein, with an improvement of the durability of 220%. Almajano and Bonilo-Carbognin already published similar results of synergy [40,41]. As a summary, it can be said that increasing the concentration of the extract does not improve the durability. However, the incorporation of small amounts of protein allows significant differences to be found between the samples containing protein and those that do not contain it.
Figure 3. Peroxide values vs. time in the emulsions.
Figure 3. Peroxide values vs. time in the emulsions.
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Avocado pits contain polyphenolic compounds (such as protocatechuic acid, chlorogenic acid, syringic acid and rutin), which are very strong antioxidants [34]. In 2010, Sasaki [42] studied the antioxidant power of chlorogenic acid in oil-water emulsions. The effects discovered are remarkable. The authors analyzed the presence of other compounds, which in that case were also polyphenolic compounds. Additionally, they demonstrated that the presence of several different compounds provided better results than the added individual effects.
As it was stated before, 1% of surfactant (Tween-20) was added to the emulsion prepared in the present work. This eases the dissolution of the polyphenolic compounds, thus increasing the antioxidant activity in the emulsion.

3.3. Effect of the Extract in Burger Meat

The TBARS method is widely used to determine the oxidation of fats and oils in foods [43,44,45]. In Figure 4, the evolution of TBARs vs. time for each of the studied beef burger meat patties is collected. Samples containing 0.1% lyophilized extract and 0.5% direct seed powder have no significant differences compared with the BHA (0.05%), but show a big difference compared with the control. The lower concentration (0.01% and 0.05% lyophilized extract powder direct seed) presented intermediate behavior, as expected. The duration of the experiment was 8 days and it was observed that the burger meat with 0.5% seed powder and 0.1% of lyophilized extract had no significant oxidation, or the protection is higher than 90%. These results are similar to those reported by Weiss et al. [46] for pork burgers. That study examined protecting fat oxidation also with excellent results [46]. Additional results along the same lines have avocado oil added directly to the pork burgers. This shows a positive effect on the conservation of the burger [47].
It is not the first time avocado pits have been used in meat products. Rodríguez-Carpena et al. (2011) [15], prepared pork meat pies and inserted the grinded avocado pits to protect the meat against lipid oxidation. The authors indicated that one of the factors might be the formation of chelates with the copper and iron cations. These cations, in their free ionic state, could cause the creation of free radicals.
Figure 4. The TBARS (Thiobarbituric acid reactive substances) values for the meat emulsions.
Figure 4. The TBARS (Thiobarbituric acid reactive substances) values for the meat emulsions.
Antioxidants 03 00439 g004

4. Conclusions

RSM was used to identify the best conditions for the extraction of compounds with an antioxidant activity from an organic residue: the avocado pit. The reduced model obtained provides parameters that fit with those of the TPC (with a 3.13% error when compared to the experimental value).
The lyophilized extract was used as protection from the oxidation of oils (oil-in-water emulsions) and fat (beef burgers) with excellent results, especially in meat, in which the durability of the burger meat is significantly increased relative to oxidation.
These studies should encourage further exploration in this area of study in order to obtain a byproduct of the natural antioxidants that currently as waste are worthless.

Acknowledgments

This research was conducted at the Department Chemical Engineering, University Polytechnic of Catalonia, Spain. The authors thank Universidad Experimental Politécnica “Antonio José de Sucre” and Carlos Barreiro, for their support in this research. The authors want to thank Mariona Vila for the support.

Author Contributions

Francisco Segovia and Sara Peiró have done the experimental section and the design, data acquisition, analysis and data interpretation; Maria Gabriela Gallego and Nurul Aini Mohd, participate in revising it critically for important intellectual content. Finally, María Pilar Almajano, as director, had the initial idea, the constant support, the English revision and the final approval of the version to be submitted and any revised version.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Martínez, R.; Torres, P.; Meneses, M.A.; Figueroa, J.G.; Pérez-Álvarez, J.A.; Viuda-Martos, M. Chemical, technological and in vitro antioxidant properties of mango, guava, pineapple and passion fruit dietary fibre concentrate. Food Chem. 2012, 135, 1520–1526. [Google Scholar] [CrossRef]
  2. Ignat, I.; Volf, I.; Popa, V.I. A critical review of methods for characterisation of polyphenolic compounds in fruits and vegetables. Food Chem. 2011, 126, 1821–1835. [Google Scholar] [CrossRef]
  3. Rubilar, M.; Pinelo, M.; Ihl, M.; Scheuermann, E.; Sineiro, J.; Nuñez, M.J. Murta leaves (Ugni molinae Turcz) as a source of antioxidant polyphenols. J. Agric. Food Chem. 2006, 54, 59–64. [Google Scholar] [CrossRef]
  4. Manach, C.; Scalbert, A.; Morand, C.; Rémésy, C.; Jime, L. Polyphenols: Food sources and bioavailability 1,2. Am. J. Clin. Nutr. 2004, 79, 727–747. [Google Scholar] [PubMed]
  5. Perumalla, A.V.S.; Hettiarachchy, N.S. Green tea and grape seed extracts—Potential applications in food safety and quality. Food Res. Int. 2011, 44, 827–839. [Google Scholar] [CrossRef]
  6. Wettasinghe, M.; Shahidi, F. Phenolic acids in defatted seeds of borage (Borago officinalis L.). Food Chem. 2001, 75, 49–56. [Google Scholar] [CrossRef]
  7. Jordán, M.; Lax, V.; Rota, M.C.; Lora, S.; Sotomayor, J.A. Relevance of carnosic acid, carnosol, and rosmarinic acid concentrations in the in vitro antioxidant and antimicrobial activities of Rosmarinus officinalis (L.) methanolic extracts. J. Agric. Food Chem. 2012, 60, 9603–9608. [Google Scholar] [CrossRef]
  8. Ayala-Zavala, J.F.; Vega-Vega, V.; Rosas-Domínguez, C.; Palafox-Carlos, H.; Villa-Rodriguez, J.A.; Siddiqui, M.W.; Dávila-Aviña, J.E.; González-Aguilar, G.A. Agro-industrial potential of exotic fruit byproducts as a source of food additives. Food Res. Int. 2011, 44, 1866–1874. [Google Scholar] [CrossRef]
  9. Wijngaard, H.H.; Brunton, N. The optimisation of solid–liquid extraction of antioxidants from apple pomace by response surface methodology. J. Food Eng. 2010, 96, 134–140. [Google Scholar] [CrossRef]
  10. Lagha-Benamrouche, S.; Madani, K. Phenolic contents and antioxidant activity of orange varieties (Citrus sinensis L. and Citrus aurantium L.) cultivated in Algeria: Peels and leaves. Ind. Crops Prod. 2013, 50, 723–730. [Google Scholar] [CrossRef]
  11. Aguedo, M.; Kohnen, S.; Rabetafika, N.; Vanden Bossche, S.; Sterckx, J.; Blecker, C.; Beauve, C.; Paquot, M. Composition of by-products from cooked fruit processing and potential use in food products. J. Food Compos. Anal. 2012, 27, 61–69. [Google Scholar] [CrossRef]
  12. Wijngaard, H.; Hossain, M.B.; Rai, D.K.; Brunton, N. Techniques to extract bioactive compounds from food by-products of plant origin. Food Res. Int. 2012, 46, 505–513. [Google Scholar] [CrossRef]
  13. Balasundram, N.; Sundram, K.; Samman, S. Phenolic compounds in plants and agri-industrial by-products: Antioxidant activity, occurrence, and potential uses. Food Chem. 2006, 99, 191–203. [Google Scholar] [CrossRef]
  14. Guerrero, M.S.; Torres, J.S.; Nuñez, M.J. Extraction of polyphenols from white distilled grape pomace: Optimization and modelling. Bioresour. Technol. 2008, 99, 1311–1318. [Google Scholar] [CrossRef]
  15. Rodríguez-Carpena, J.G.; Morcuende, D.; Estévez, M. Avocado by-products as inhibitors of color deterioration and lipid and protein oxidation in raw porcine patties subjected to chilled storage. Meat Sci. 2011, 89, 166–173. [Google Scholar] [CrossRef]
  16. Soong, Y.-Y.; Barlow, P.J. Antioxidant activity and phenolic content of selected fruit seeds. Food Chem. 2004, 88, 411–417. [Google Scholar] [CrossRef]
  17. Moure, A.; Cruz, J.M.; Franco, D.; Domínguez, J.M.; Sineiro, J.; Domínguez, H.; Jose, M.; Parajo, J.C. Natural antioxidants from residual sources. Food Chem. 2001, 72, 145–171. [Google Scholar] [CrossRef]
  18. Saha, J.; Debnath, M.; Saha, A.; Ghosh, T.; Sarkar, P.K. Response surface optimisation of extraction of antioxidants from strawberry fruit, and lipid peroxidation inhibitory potential of the fruit extract in cooked chicken patties. J. Sci. Food Agric. 2011, 91, 1759–1765. [Google Scholar] [CrossRef]
  19. Díaz Reinoso, B.; Couto, D.; Moure, A.; Fernandes, E.; Domínguez, H.; Parajó, J.C. Optimization of antioxidants—Extraction from Castanea sativa leaves. Chem. Eng. J. 2012, 203, 101–109. [Google Scholar] [CrossRef]
  20. Pompeu, D.R.; Silva, E.M.; Rogez, H. Optimisation of the solvent extraction of phenolic antioxidants from fruits of Euterpe oleracea using Response Surface Methodology. Bioresour. Technol. 2009, 100, 6076–6082. [Google Scholar] [CrossRef]
  21. Wijngaard, H.; Brunton, N. The optimization of extraction of antioxidants from apple pomace by pressurized liquids. J. Agric. Food Chem. 2009, 57, 10625–10631. [Google Scholar] [CrossRef]
  22. Prior, R.L.; Wu, X.; Schaich, K. Standardized methods for the determination of antioxidant capacity and phenolics in foods and dietary supplements. J. Agric. Food Chem. 2005, 53, 4290–4302. [Google Scholar] [CrossRef]
  23. Casettari, L.; Gennari, L.; Angelino, D.; Ninfali, P.; Castagnino, E. ORAC of chitosan and its derivatives. Food Hydrocoll. 2012, 28, 243–247. [Google Scholar] [CrossRef]
  24. Singh, G.; Maurya, S.; DeLampasona, P.; Catalan, C. A comparison of chemical, antioxidant and antimicrobial studies of cinnamon leaf and bark volatile oils, oleoresins and their constituents. Food Chem. Toxicol. 2007, 45, 1650–1661. [Google Scholar] [CrossRef]
  25. Doménech-Asensi, G.; García-Alonso, F.J.; Martínez, E.; Santaella, M.; Martín-Pozuelo, G.; Bravo, S.; Periago, M.J. Effect of the addition of tomato paste on the nutritional and sensory properties of mortadella. Meat Sci. 2013, 93, 213–219. [Google Scholar] [CrossRef]
  26. Spigno, G.; de Faveri, D.M. Antioxidants from grape stalks and marc: Influence of extraction procedure on yield, purity and antioxidant power of the extracts. J. Food Eng. 2007, 78, 793–801. [Google Scholar] [CrossRef]
  27. Amendola, D.; de Faveri, D.M.; Spigno, G. Grape marc phenolics: Extraction kinetics, quality and stability of extracts. J. Food Eng. 2010, 97, 384–392. [Google Scholar] [CrossRef]
  28. Boussetta, N.; Vorobiev, E.; Le, L.H.; Cordin-falcimaigne, A.; Lanoisellé, J. Application of electrical treatments in alcoholic solvent for polyphenols extraction from grape seeds. LWT-Food Sci. Technol. 2012, 46, 127–134. [Google Scholar] [CrossRef]
  29. Rodríguez-Rojo, S.; Visentin, A.; Maestri, D.; Cocero, M.J. Assisted extraction of rosemary antioxidants with green solvents. J. Food Eng. 2012, 109, 98–103. [Google Scholar] [CrossRef]
  30. Cacace, J.E.; Mazza, G. Mass transfer process during extraction of phenolic compounds from milled berries. J. Food Eng. 2003, 59, 379–389. [Google Scholar] [CrossRef]
  31. Tubtimdee, C.; Shotipruk, A. Extraction of phenolics from Terminalia chebula Retz with water–ethanol and water–propylene glycol and sugaring-out concentration of extracts. Sep. Purif. Technol. 2011, 77, 339–346. [Google Scholar] [CrossRef]
  32. Qu, W.; Pan, Z.; Ma, H. Extraction modeling and activities of antioxidants from pomegranate marc. J. Food Eng. 2010, 99, 16–23. [Google Scholar] [CrossRef]
  33. Thoo, Y.Y.; Ho, S.K.; Liang, J.Y.; Ho, C.W.; Tan, C.P. Effects of binary solvent extraction system, extraction time and extraction temperature on phenolic antioxidants and antioxidant capacity from mengkudu (Morinda citrifolia). Food Chem. 2010, 120, 290–295. [Google Scholar] [CrossRef]
  34. Pahua-Ramos, M.E.; Ortiz-Moreno, A.; Chamorro-Cevallos, G.; Hernández-Navarro, M.D.; Garduño-Siciliano, L.; Necoechea-Mondragón, H.; Hernández-Ortega, M. Hypolipidemic effect of avocado (Persea americana Mill) seed in a hypercholesterolemic mouse model. Plant Foods Hum. Nutr. 2012, 67, 10–16. [Google Scholar] [CrossRef]
  35. Sun, Y.; Xu, W.; Zhang, W.; Hu, Q.; Zeng, X. Optimizing the extraction of phenolic antioxidants from kudingcha made frrom Ilex kudingcha C.J. Tseng by using response surface methodology. Sep. Purif. Technol. 2011, 78, 311–320. [Google Scholar] [CrossRef]
  36. Kahyaoglu, T. Optimization of the pistachio nut roasting process using response surface methodology and gene expression programming. LWT-Food Sci. Technol. 2008, 41, 26–33. [Google Scholar] [CrossRef]
  37. Kargar, M.; Spyropoulos, F.; Norton, I.T. The effect of interfacial microstructure on the lipid oxidation stability of oil-in-water emulsions. J. Colloid Interface Sci. 2011, 357, 527–533. [Google Scholar] [CrossRef]
  38. Poyato, C.; Navarro-blasco, I.; Isabel, M.; Yolanda, R.; Astiasarán, I.; Ansorena, D. Oxidative stability of O/W and W/O/W emulsions: Effect of lipid composition and antioxidant polarity. Food Res. Int. 2013, 51, 132–140. [Google Scholar] [CrossRef]
  39. Sun, C.; Gunasekaran, S. Effects of protein concentration and oil-phase volume fraction on the stability and rheology of menhaden oil-in-water emulsions stabilized by whey protein isolate with xanthan gum. Food Hydrocoll. 2009, 23, 165–174. [Google Scholar] [CrossRef]
  40. Almajano, M.P.; Delgado, M.E.; Gordon, M.H. Changes in the antioxidant properties of protein solutions in the presence of epigallocatechin gallate. Food Chem. 2007, 101, 126–130. [Google Scholar] [CrossRef]
  41. Bonoli-Carbognin, M.; Erretani, L.O.C.; Endini, A.L.B.; Goidanich, P.; Cesena, I. Bovine serum albumin produces a synergistic increase in the antioxidant activity of virgin olive oil phenolic compounds in oil-in-water emulsions. J. Agric. Food Chem. 2008, 56, 7076–7081. [Google Scholar] [CrossRef]
  42. Sasaki, K.; Alamed, J.; Weiss, J.; Villeneuve, P.; López, L.J.; Lecomte, J.; Figueroa-espinoza, M.; Decker, E.A. Relationship between the physical properties of chlorogenic acid esters and their ability to inhibit lipid oxidation in oil-in-water emulsions. Food Chem. 2010, 118, 830–835. [Google Scholar] [CrossRef]
  43. Mendes, R.; Cardoso, C.; Pestana, C. Measurement of malondialdehyde in fish: A comparison study between HPLC methods and the traditional spectrophotometric test. Food Chem. 2009, 112, 1038–1045. [Google Scholar] [CrossRef]
  44. Seljeskog, E.; Hervig, T.; Mansoor, M.A. A novel HPLC method for the measurement of thiobarbituric acid reactive substances (TBARS). A comparison with a commercially available kit. Clin. Biochem. 2006, 39, 947–954. [Google Scholar] [CrossRef]
  45. Wenjiao, F.; Yongkui, Z.; Yunchuan, C.; Junxiu, S.; Yuwen, Y. TBARS predictive models of pork sausages stored at different temperatures. Meat Sci. 2014, 96, 1–4. [Google Scholar] [CrossRef]
  46. Weiss, J.; Gibis, M.; Schuh, V.; Salminen, H. Advances in ingredient and processing systems for meat and meat products. Meat Sci. 2010, 86, 196–213. [Google Scholar] [CrossRef]
  47. Rodríguez-Carpena, J.G.; Morcuende, D.; Estévez, M. Avocado, sunflower and olive oils as replacers of pork back-fat in burger patties: Effect on lipid composition, oxidative stability and quality traits. Meat Sci. 2012, 90, 106–115. [Google Scholar] [CrossRef]

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MDPI and ACS Style

Gómez, F.S.; Sánchez, S.P.; Iradi, M.G.G.; Azman, N.A.M.; Almajano, M.P. Avocado Seeds: Extraction Optimization and Possible Use as Antioxidant in Food. Antioxidants 2014, 3, 439-454. https://doi.org/10.3390/antiox3020439

AMA Style

Gómez FS, Sánchez SP, Iradi MGG, Azman NAM, Almajano MP. Avocado Seeds: Extraction Optimization and Possible Use as Antioxidant in Food. Antioxidants. 2014; 3(2):439-454. https://doi.org/10.3390/antiox3020439

Chicago/Turabian Style

Gómez, Francisco Segovia, Sara Peiró Sánchez, Maria Gabriela Gallego Iradi, Nurul Aini Mohd Azman, and María Pilar Almajano. 2014. "Avocado Seeds: Extraction Optimization and Possible Use as Antioxidant in Food" Antioxidants 3, no. 2: 439-454. https://doi.org/10.3390/antiox3020439

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